Instructions to use iBarb/Model-es-qu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iBarb/Model-es-qu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iBarb/Model-es-qu") model = AutoModelForSeq2SeqLM.from_pretrained("iBarb/Model-es-qu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1ddf2ae5a27bc33b32d6e22bb343e3ce20ffdf78d1d41caac714ecbc7505562
- Size of remote file:
- 310 MB
- SHA256:
- 4e6e900e0ae6e2364feb808d0cf144c5c3ccc58be1776f8e21723e7aed6e6898
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